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We provide a global spatially explicit characterization of terrestrial and marine habitat types, as defined in the International Union for Conservation of Nature (IUCN) habitat classification scheme, which is widely used in ecological analyses, including for assessing species’ Area of Habitat. The maps broaden our understanding of habitats globally, assist in constructing area of habitat (AOH) refinements and are relevant for broad-scale ecological studies and future IUCN Red List assessments.

The DisruptSC model assesses the indirect economic impacts of disasters by explicitly quantifying the disturbances on supply chains. It simulates, in space and time, how transport infrastructure disruptions perturb the flows of goods in supply chains and how these perturbations affect households, firms, and trade.

Pathfinder is designed to fill a perceived gap within the existing simple climate models by fulfilling three key requirements: (1) the capacity to be calibrated using Bayesian inference, (2) the capacity to be coupled with integrated assessment models (IAMs), and (3) the capacity to explore a very large number of climate scenarios to narrow down those compatible with limiting climate impacts.

The Integrated Catastrophe Analysis and Management Modeling (ISCRiMM) approach addresses systemic risks by analyzing socio-economic and structural vulnerabilities, employing statistical and machine learning methods, and enabling stakeholders to update vulnerability indices for effective risk management.

While the full model is under review and development, this is an abbreviated description of its main purpose, components, assumptions, and variables, but without some details and equations.

The aim of this model is to provide a unified framework for studying and mitigating the economic and demographic consequences of increasing inequality. The MIWAG model is a rich life-cycle model that allows to trace out how initial heterogeneity is transmitted into unequal behaviours and outcomes over the lifecycle. It can be used for studying how different policies lead to different dynamics over the life-cycle and how this affects intra-generational inequality. Moreover, this life-cycle model can be implemented in an overlapping generations framework, which also allows studying how inequality evolves across cohorts (inter-generational inequality).

This application serves as an expansion of the Bayesian Reconstruction of Populations and Vital Rates by Educational Attainment (BayesEdu) project. Its objective is to integrate existing demographic data to generate accurate estimates of population sizes and vital rates categorized by educational attainment, while also considering associated uncertainties.

Update of the human core of the SSPs: Population and Human Capital Projections to 2100

The Fair Mitigation Finance Explorer is the web app accompanying the paper 'Fairness considerations in global mitigation investments'. Users can select various indicators with a variety of weights to explore the ‘fair’ regional contributions to near-term regional mitigation investment needs. With this information, the web app determines the ‘fair-share’ regional contributions to their respective regional ‘cost-effective’ investment needs.

A historical database of energy use by country or region, energy level, sector, energy carrier, and end-use type.

The Energy and Carbon Emissions Inventory Database (ECDB) compares major global inventories of primary energy use and carbon emissions.

The SD-ET analysis provides a novel methodological framework of using observed historical patterns of technological change to test the plausibility of future scenarios of technological change to meet climate change mitigation goals.

MAGICC is a reduced complexity Earth system model that has been widely used in climate science for over three decades, most notably in multiple IPCC reports. It is most often used in a probabilistic setup, providing information not only about our best-estimate of future climate change but also the uncertainty that arises from interactions between the Earth system’s many components. MAGICC is also as the climate component in multiple integrated assessment models (IAMs). 

The ibis.iSDM package provides a series of convenience functions to fit integrated Species Distribution Models (iSDMs). With integrated models we generally refer to SDMs that incorporate information from different biodiversity datasets, external parameters such as priors or offsets with respect to certain variables and regions.

Spatial layers of global importance highlighting the upper potential value of conserving biodiversity, carbon and water assets under different area-based conservation targets.

Integrative qualitative system mapping (IQSM) enables the systematic and transparent integration of diverse qualitative data. It is particularly useful as a tool supporting mixed methods research addressing nexus issues in sustainable development.  

Design Thinking (DT) is a participatory approach that focuses on understanding user-design problems with a variety of “products” and to create and test innovative problem solutions - these may include physical goods but also non-physical products such as services, policy instruments etc.

Role-play simulations are a transdisciplinary method for engaging diverse stakeholders beyond traditional policy- and decision-making communities in an informed and inclusive public debate around the governance of complex socio-environmental challenges. 

Scenarios as a decision-making tool help us to better understand the implications of a wide range of future possibilities considering existing development, strategies, and global interdependencies. Scenarios should be co-produced with their users, most often planner and decision makers.

Welcome to the world of PlantFATE, a novel eco-evolutionary vegetation model designed to unravel the intricate dynamics of forests and their response to environmental change. PlantFATE stands as a powerful tool to guide conservation efforts, inform policy decisions, and foster a deeper appreciation for the wonders of nature. Embark on a journey through the intricate tapestry of forest resilience with PlantFATE as your guide.